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researchers to develop and optimize novel techniques for the production of prosthetic devices. Responsibilities: Outline the key responsibilities of the position. This might include: Research innovative
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and has a zest for organization and accomplishing goals. Job tasks include optimizing intrinsic labeling systems (13CO2, 2H, 57Fe, etc.); developing high-throughput extraction, sample clean-up, and
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or heterogenous inorganic catalysts. The goal is to identify and optimize novel catalysts that can efficiently utilise solar energy by consecutively absorbing light with different wavelengths. Catalyst development
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) understanding of the mathematical foundations and principles of Machine Learning, Linear Algebra (vectorial and matricial operations, optimization), with a particular focus on Neural Networks, 3) problem solving
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National Aeronautics and Space Administration (NASA) | Cleveland, Ohio | United States | about 6 hours ago
, and C/C++ Experience developing machine learning algorithms Strong mathematical foundation specifically in linear algebra, differential equations, and optimization Solid communication and teamwork
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distinguished by a culture of resilient optimism, resourceful thinking and pragmatic dreaming that enables us to reach others every day. Visit our website to learn more about the University at Buffalo . As an
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be clinically tested in a small animal model. (Ref: PID2022-136961NB-I00)(HR25-00225). Main functions: Design, fabrication, and optimization of liquid-walled pumps (Qpump) capable of achieving
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., VAEs, GANs, transformer-based models) to large-scale biomedical and biological data, including developing and optimizing models to predict disease progression and create realistic patient profiles
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. The group will be contributing to the Physics Modeling (MC software, MC validation and Pileup modeling), the MET High-Level Trigger validation, optimization and performance studies, and to the heterogeneous
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therefore improve TB diagnosis and patient treatment. Postdoctoral fellows will work on interdisciplinary projects within a highly collaborative environment to identify optimal combinations of TB drugs, old